protected void LoadModelDataBase(WeightingModelData data)
{
if (data.data.Any())
{
index = data.data.First().GetIndexDictionary();
}
}
public override void LoadModelData(WeightingModelData data)
{
LoadModelDataBase(data);
var dict = data.properties.GetIndexDictionary();
SqrTc = dict[nameof(SqrTc)]; //(Double)data.properties[nameof(SqrTc)];
}
protected WeightingModelData SaveModelDataBase()
{
WeightingModelData output = new WeightingModelData();
output.signature = shortName;
var d = new TermWeightData(index);
output.data.Add(d);
return(output);
}
public override WeightingModelData SaveModelData()
{
WeightingModelData output = new WeightingModelData();
output.signature = shortName;
Int32 c = 0;
foreach (var l in computedModel.labels)
{
output.data.Add(new TermWeightData(computedModel.index[l]));
output.properties.entries.Add(new TermWeightEntry(l, c));
c++;
}
return(output);
}
public override void LoadModelData(WeightingModelData data)
{
List <String> __labels = new List <string>(data.properties.entries.Count);
var dict = data.properties.GetIndexDictionary();
foreach (var pair in dict)
{
__labels[Convert.ToInt32(pair.Value)] = pair.Key;
}
computedModel = new TermDiscriminatingPowerComputedModel(__labels, factor);
for (int i = 0; i < __labels.Count; i++)
{
String label = __labels[i];
computedModel.index[label] = data.data[i].GetIndexDictionary();
}
}
public override void LoadModelData(WeightingModelData data)
{
LoadModelDataBase(data);
}
public void LoadModelData(WeightingModelData data)
{
}
/// <summary> /// Loads pre-trained data into model /// </summary> /// <param name="data">The data.</param> public abstract void LoadModelData(WeightingModelData data);
